kaliis the 64-processor Beowulf cluster with a high-performance Myrinet interconnect of the Department of Mathematics and Statistics at UMBC. It was purchased using funds from a SCREMS grant from the National Science Foundation with equal cost-sharing from UMBC, with a substantial vendor discount towards the purchase of the hardware. The principal investigators of the grant are Jonathan Bell, Florian Potra, Madhu Nayakkankuppam, and Matthias K. Gobbert. The machine is used for research projects including the areas of microelectronics manufacturing, quantum chemistry, computational neurobiology, and constrained mechanical systems. The machine is managed jointly by system administrators from the department and UMBC's Office of Information Technology.
The machine runs the Linux operating system distributed by RedHat. Parallel communications use Myricom's implementation of the Message-Passing Interface (MPI). Both GNU and Intel compilers are available for C/C++ and Fortran including Math libraries. Job scheduling is done using torque and Maui.
kali. Lists of publications and links to preprints are posted under each project, where available.
kaliand information about initial setup and how to compile code on
kaliusing the torque batch processor and Maui scheduler including some ways to supervise code and monitor performance on
Matthias K. Gobbert |
Department of Mathematics and Statistics
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250
Office: Math/Psyc 416
Phone: (410) 455-2404
Fax: (410) 455-1066
This material is based upon work supported by the
National Science Foundation under Grant No. DMS-0215373.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.